Computer-aided detection significantly improves the sensitivity of pulmonary embolism imaging, according to a study that will be presented at the 2008 RSNA meeting. Other studies show that specially developed CAD schemes can detect flat lesions that are often missed in CT colonography.
Computer-aided detection significantly improves the sensitivity of pulmonary embolism imaging, according to a study that will be presented at the 2008 RSNA meeting. Other studies show that specially developed CAD schemes can detect flat lesions that are often missed in CT colonography.
"There has been steady improvement over the years in the sensitivity and specificity of nodule detection," said Dr. Heber M. MacMahon, director of thoracic imaging at the University of Chicago Medical Center.
The most urgent issue and the biggest barrier to the use of CAD technology has been its lack of integration with PACS, he said.
"They have not been tightly integrated into PACS, so it takes a lot of time to evaluate," MacMahon said. "If it takes more than a few minutes to bring up the interface and extract results, people won't use it in their practice because of the pressure to read large amounts of scans."
CAD and PACS developers have worked together to improve the software so that nodule detection can be done more quickly and reliably, he said.
Regarding the rate of false positives, MacMahon said all detection systems have false positives, and recent software improvements have lowered them into an acceptable range.
In another study, a specially developed CAD scheme was used to detect flat lesions in the colon, because existing CAD schemes are designed for detecting the common bulbous polyp shape. Researchers developed a CAD scheme consisting of colon segmentation based on histogram analysis and mathematical morphology, detection of polyp candidates based on intensity and morphologic feature analysis, and linear discriminant analysis for classification into polyps or nonpolyps.
GE HealthCare Debuts AI-Powered Cardiac CT Device at ACC Conference
April 1st 2025Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.
Can Photon-Counting CT be an Alternative to MRI for Assessing Liver Fat Fraction?
March 21st 2025Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.
AI-Initiated Recalls After Screening Mammography Demonstrate Higher PPV for Breast Cancer
March 18th 2025While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.